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2024年5月31日发(作者：)
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摘 要
在21世纪的今天，网络发展越来越快，网上的娱乐方式也越来越多
样化，而如今在网上观看视频消遣时间越来越受到大众的青睐。Bilibili
视频网站是现当下年轻人最受欢迎的一个视频网站。有调查显示，直到
2019年的10月份，Bilibili视频网站的用户在总体网络视频用户占比高
达90%。它与其他的视频网站用户相比较，其用户忠实度更高，据其
招募报告称，其成员的12个月保留率达79％，而2009年注册的用
户中60％的今天仍然活跃。Bilibili是目前国内最受欢迎的综合用户
网站，分析其视频热度可以从侧面分析15-45岁群体的爱好，有着
重要研究意义。
本论文为基于Python的“哔哩哔哩视频网”视频热度分析。首
先讲解本文使用的相关技术，包括Scrapy框架，Pandas库和
pyecharts库。然后根据页面分析使用基于Scrapy的方法对哔哩哔哩
视频网数据抓取，并展示了部分数据结果，还对数据进行了预处理，
接着为数据分析分别对分区占比、平均播放量、平均三连情况、各
区平均播放和热门标签进行可视化，最后总结本论文所做的工作以
及展望。
关键词：Scrapy；Pandas；哔哩哔哩视频网
Abstract
In the 21st century, the development of the Internet is faster and faster,
the online entertainment is more and more diversified, and now watching
videos on the Internet for leisure time is more and more li is
one of the most popular video websites for young people of
October 2019, Bilibili accounts for 90 percent of all online video users,
according to a libili has higher user loyalty than other platforms,
with a 12-month retention rate of 79% according to its recruitment report,
compared with 60% of users registered in 2009 who are still active today.
Bilibilibili is the most popular comprehensive user website in China.
Analyzing its video popularity can analyze the hobbies of the 15-45-year-old
group from the side, which has important research significance.
This paper is based on Python "BiliBili video network" video heat
analysis. First of all, it introduces the related technologies used in this paper,
including the scrapy framework, pandas library and pyecharts library. Then,
according to the page analysis, we use the method based on scratch to
capture the data of bilibilibili video network, and show some data results,
and preprocess the data. Then we visualize the partition proportion, the
average playback volume, the average triple connection, the average
playback of each area and the hot tags for the data analysis. Finally, we
summarize the work and Prospect of this paper.
Key words：Scrapy；Pandas；BiliBili
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